Bonfire: a nomadic system for hybrid laptop-tabletop interaction
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Vision-based two hand detection and tracking
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
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The paper presents the Visual Mouse (VM), a novel and simple system for interaction with displays via hand gestures. Our method includes detecting bare hands using the fast SIFT (Scale-Invariant Feature Transform) algorithm saving long training time of the Adaboost algorithm, tracking hands based on the CAMShift algorithm, recognizing hand gestures in cluttered background via Principle Components Analysis (PCA) without extracting clear-cut hand contour, and defining simple and robustly interpretable vocabularies of hand gestures, which are subsequently used to control a computer mouse. The system provides a fast and simple interaction experience without the need for more expensive hardware and software.